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Mercury 2 EU AI Act Compliance Profile

inception

Text Generation
Risk Classification
GPAI
Art. 53-55
General-Purpose AI System
Model Info
PipelineText Generation
CreatedMar 2026
SyncedApr 3, 2026
API Info
128K tokenscontext
ModalityText → Text
Input$0.250/M
Output$0.750/M
Providerinception
Visit website
Obligations
3apply
~16h effort
AI Literacy (Art. 4)
AI Disclosure (Art. 50)
Synthetic Content Labeling (Art. 50)
$ npx complior scan

Your risk depends on how you use Mercury 2

Usage ContextRisk LevelObligations
Internal coding toolMINIMAL3 obligations (~12h)
Customer support botLIMITED7 obligations (~32h)
HR screening / hiringHIGH19 obligations (~120h)
Credit decisionsHIGH19 obligations (~120h)
Medical triageHIGH19 obligations (~120h)

Why this tool is classified as GPAI

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving >1,000 tokens/sec on standard GPUs. Mercury 2 is 5x+ faster than leading speed-optimized LLMs like Claude 4.5 Haiku and GPT 5 Mini, at a fraction of the cost. Mercury 2 supports tunable reasoning levels, 128K context, native tool use, and schema-aligned JSON output. Built for coding workflows where latency compounds, real-time voice/search, and agent loops. OpenAI API compatible. Read more in the [blog post](https://www.inceptionlabs.ai/blog/introducing-mercury-2).

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
Obligation under Art. 4 for Mercury 2 deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED

Who does what

inception (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

  • AI Literacy (Art. 4) (Art. 4)
  • AI Disclosure (Art. 50) (Art. 50)
  • Synthetic Content Labeling (Art. 50) (Art. 50)
See full obligation checklist

Risk Assessment Reasoning

This model is classified as General-Purpose AI (GPAI) under the EU AI Act. GPAI providers must comply with transparency obligations (Art. 53), including technical documentation and copyright policy disclosure. Deployers must ensure AI literacy training (Art. 4) for all staff interacting with the system. Text generation models may produce synthetic content; deployers using this for public-facing applications must disclose AI-generated content (Art. 50).

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Frequently Asked Questions

What is Mercury 2's EU AI Act risk classification?

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Mercury 2 is classified as GPAI under the EU AI Act. However, the risk level of your specific deployment depends on your use case: internal tools may be Minimal risk, while HR screening or credit decisions escalate to High Risk.

What are my obligations if I deploy Mercury 2?

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As a Mercury 2 deployer, you have 3 base obligations (~16 hours estimated effort). Key articles: Art. 4, Art. 50.

What is Mercury 2?

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Mercury 2 is a Text Generation model. It has 0 downloads on HuggingFace.

What are the EU AI Act deadlines for Mercury 2?

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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02. Already passed: Synthetic Content Labeling (Art. 50) — 2025-08-02.

Check Mercury 2 compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan